Optimization of Selected Casting Processes Using Jaya algorithm
Autor: | R. Venkata Rao, Dhiraj P. Rai |
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Rok vydání: | 2017 |
Předmět: |
Squeeze casting
0209 industrial biotechnology Engineering Optimization problem business.industry 020209 energy Process (computing) Defect free 02 engineering and technology Process variable Die casting Continuous casting 020901 industrial engineering & automation Casting (metalworking) 0202 electrical engineering electronic engineering information engineering business Algorithm |
Zdroj: | Materials Today: Proceedings. 4:11056-11067 |
ISSN: | 2214-7853 |
Popis: | The performance of casting processes depends upon a number of input parameters. To produce a defect free casting with high productivity it is important to select the best combinations if process parameters. Therefore, the objective of this work is to improve the performance of squeeze casting process, continuous casting process and die casting process through process parameter optimization using Jaya algorithm. In addition, a variant of Jaya algorithm with quasi oppositional-based-learning is proposed. The optimization problems for each of the above mentioned casting processes are formulated and solved using Jaya algorithm and QO-Jaya algorithm and the results are compared with the results of GA, SA, PSO and TLBO algorithms. |
Databáze: | OpenAIRE |
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